10 Business Intelligence Pitfalls to Avoid in the New Decade - Slide 2

Pitfall 1

Starting without a defined and considered goal makes for a poor foundation for a BI project. So ask yourself: What is it you want to address? Is your goal the right goal? What will achieving it mean for your business? Is it clear and will you be personally measured against it?

Goals need to be specific and aligned to your corporate objectives, but they don’t need to be big. With recent IDC research indicating that the volatile economy has resulted in organizations focusing on more tactical projects, with lower upfront spend and more quickly realized business benefits, it can actually help if you start with some very achievable “quick wins,” which ensure buy-in from all stakeholders at an early stage.

In short, a new breed of BI tools is eschewing cumbersome, complex technology and instead focusing on making the process as intuitive and rewarding as possible. This latest wave of BI – BI 2.0 – is serving a generation of technologically savvy, information-hungry users. Characterized by pioneering features like in-memory and associative analysis, powerful BI 2.0 tools are making a more “self-service” approach to reporting and analysis possible. With them, non-technical users can combine previously disconnected information for a complete view and analysis on the fly – without help from the IT department.

So, BI software should be offering all the answers. But because many companies are still persevering with outdated BI 1.0 technologies, only 13 percent of UK companies polled in 2009 by NCC reported complete satisfaction with their BI projects. In fact, despite spending more than $7 billion on it in a year (IDC), businesses globally are in a worse shape than ever.

According to IDC, “the challenges that BI implementations present mean that many organizations still struggle to deploy BI pervasively”. QlikTech has identified 10 common pitfalls associated with BI 1.0 that prevent organizations from getting full value from their BI investments.

Watson continuously learns from previous interactions, gaining in value and knowledge over time. Learn how companies are harnessing that AI power to create and improve products and services. ... More >>

Advertiser Disclosure:
Some of the products that appear on this site are from companies from which QuinStreet receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. QuinStreet does not include all companies or all types of products available in the marketplace.